Databricks vs OpenSearch

Databricks Delta Lake adds full ACID guarantees to Parquet files on S3 or ADLS, enabling concurrent reads and writes that corrupt data in plain Parquet pipelines without managing separate lock services.

Databricks integrates MLflow natively, auto-logging parameters, metrics, and model artifacts for every training run, reducing experiment comparison from hours of manual log parsing to a 30-second dashboard review.

Databricks Structured Streaming processes Kafka events with exactly-once semantics and checkpointed state, supporting stateful aggregations across time windows without losing events on job restart.

Migrate from Elasticsearch to OpenSearch with API-compatible clients and keep the same application code

Route CloudWatch logs to OpenSearch Service via Kinesis for centralized log search without leaving AWS

Store document embeddings and run hybrid text+vector search with the k-NN plugin to improve retrieval accuracy

Correlate AWS CloudTrail and VPC flow logs in OpenSearch to detect anomalous access patterns in near-real-time